{"id":"https://openalex.org/W4234545252","doi":"https://doi.org/10.1109/icpr.2004.1333698","title":"Conformal method for quantitative shape extraction: performance evaluation","display_name":"Conformal method for quantitative shape extraction: performance evaluation","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4234545252","doi":"https://doi.org/10.1109/icpr.2004.1333698"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1333698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1333698","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060941085","display_name":"G. Kamberov","orcid":"https://orcid.org/0000-0003-4560-4900"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Kamberov","raw_affiliation_strings":["Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034349764","display_name":"Gerda Kamberova","orcid":null},"institutions":[{"id":"https://openalex.org/I139290212","display_name":"Hofstra University","ror":"https://ror.org/03pm18j10","country_code":"US","type":"education","lineage":["https://openalex.org/I139290212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Kamberova","raw_affiliation_strings":["Gerda Kamberova, Department of Computer Science, Hofstra University, Hempstead, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gerda Kamberova, Department of Computer Science, Hofstra University, Hempstead, NY, USA","institution_ids":["https://openalex.org/I139290212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3092,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95596756,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"31","last_page":"35 Vol.4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conformal-map","display_name":"Conformal map","score":0.814475417137146},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6785788536071777},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6754876375198364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495267152786255},{"id":"https://openalex.org/keywords/gauss","display_name":"Gauss","score":0.5963686108589172},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5376158356666565},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4884749948978424},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.45088493824005127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43032923340797424},{"id":"https://openalex.org/keywords/quantitative-analysis","display_name":"Quantitative analysis (chemistry)","score":0.410075306892395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21042096614837646},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15723031759262085},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09686040878295898},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08993300795555115},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08949372172355652}],"concepts":[{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.814475417137146},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6785788536071777},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6754876375198364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495267152786255},{"id":"https://openalex.org/C161794534","wikidata":"https://www.wikidata.org/wiki/Q177493","display_name":"Gauss","level":2,"score":0.5963686108589172},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5376158356666565},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4884749948978424},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.45088493824005127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43032923340797424},{"id":"https://openalex.org/C95986675","wikidata":"https://www.wikidata.org/wiki/Q185168","display_name":"Quantitative analysis (chemistry)","level":2,"score":0.410075306892395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21042096614837646},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15723031759262085},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09686040878295898},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08993300795555115},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08949372172355652},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1333698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1333698","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W109810038","https://openalex.org/W261495472","https://openalex.org/W1559837137","https://openalex.org/W1565722771","https://openalex.org/W1626653188","https://openalex.org/W1812951119","https://openalex.org/W1967902933","https://openalex.org/W2065345805","https://openalex.org/W2084595284","https://openalex.org/W2100816864","https://openalex.org/W2104776149","https://openalex.org/W2125685777","https://openalex.org/W2135598686","https://openalex.org/W2147017160","https://openalex.org/W2159031739","https://openalex.org/W2167502305","https://openalex.org/W3146210588","https://openalex.org/W4253343932"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2358906198","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2562256921","https://openalex.org/W3172958657"],"abstract_inverted_index":{"We":[0],"evaluate":[1],"our":[2],"developed":[3],"conformal":[4,17],"method":[5,18],"for":[6,48],"quantitative":[7,49],"shape":[8],"extraction":[9,50],"from":[10],"unorganized":[11],"3D":[12,26],"oriented":[13],"point":[14],"clouds.":[15],"The":[16],"has":[19],"been":[20],"tested":[21],"previously":[22],"on":[23,31,38],"real,":[24],"noisy,":[25],"data.":[27],"Here":[28],"we":[29],"focus":[30],"the":[32,58],"empirical":[33],"evaluation":[34],"of":[35,51],"its":[36],"performance":[37],"synthetic,":[39],"ground":[40],"truth":[41],"data,":[42],"and":[43,53],"comparisons":[44],"with":[45],"other":[46],"methods":[47],"mean":[52],"Gauss":[54],"curvatures":[55],"presented":[56],"in":[57],"literature.":[59]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
